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Statistical Estimation of Body Temperature from Skin Temperature for Smart Band

    • Jeonbuk National University
    • Pangaea Solution Inc.

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    As wearable devices have been activated, smart band functions are becoming more diverse. They have many functions that measure a person's physical activity, and body temperature is one of them among these functions. Therefore, this paper proposes a statistical evaluation method based on actual body temperature measurement values for smart band's body temperature measurement. The proposed method estimate skin temperature to body temperature by obtaining two approximate Gaussian functions and mapping these Gaussian functions to each other. This is the application of the central limit theorem of statistics. The proposed method will verifies the accuracy and validity of the body temperature assessment through our experiments.

    Original languageEnglish
    Title of host publicationICTC 2019 - 10th International Conference on ICT Convergence
    Subtitle of host publicationICT Convergence Leading the Autonomous Future
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1477-1481
    Number of pages5
    ISBN (Electronic)9781728108926
    DOIs
    StatePublished - 2019.10
    Event10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of
    Duration: 2019.10.162019.10.18

    Publication series

    NameICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

    Conference

    Conference10th International Conference on Information and Communication Technology Convergence, ICTC 2019
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period19.10.1619.10.18

    Keywords

    • central limit theorem
    • Gaussian function
    • smart band

    Quacquarelli Symonds(QS) Subject Topics

    • Business & Management Studies
    • Computer Science & Information Systems
    • Mathematics
    • Engineering - Electrical & Electronic
    • Engineering - Petroleum
    • Data Science

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